Biological information acquisition device and biological information acquisition method

Abstract

The biometric information acquisition device includes an ultra-wideband millimeter-wave radar system including at least one transmitting antenna and at least one receiving antenna, which transmits ultra-wideband millimeter waves to a subject and receives the ultra-wideband millimeter waves reflected from the subject, and a controller including circuitry that converts the multiple received ultra-wideband millimeter waves into radar signals reflected from the subject, stores the radar signals, calculates a differential signal between the radar signals at each position, calculates the strength of the differential signal at each position, and estimates the subject's breathing interval, heartbeat interval, and position.

Description

[Technical field]

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS This application is based on and claims the benefit of priority to U.S. Provisional Application No. 62 / 982,064, filed February 27, 2020, U.S. Provisional Application No. 63 / 143,905, filed January 31, 2021, and U.S. Provisional Application No. 63 / 151,774, filed February 21, 2021, the entire contents of which are incorporated herein by reference.

[0002] The present invention relates to Subject The present invention relates to a biological information acquiring device and method for estimating a breathing interval, a heartbeat interval and a position of a human body. [Background technology]

[0003] Vital information monitoring is very important for providing appropriate healthcare services to patients (PL 1, NPL 1). In recent years, various medical devices have been developed to obtain vital information including heart rate and respiratory interval. Several millimeter wave radar technologies (PL 2, NPL 2, NPL 3) have been reported.

[0004] Prior art literature Patent literature (Citation List Patent Literature) PL 1 Katsuya Nakagawa, et. al. Vital information measuring device, device, and vital information communication system, EP1887488A1. PL 2 Milan Savic, et. al., MM-wave radar vital signs detection apparatus and method of operation, WO2015 / 174879A1.

[0005] Prior art literature Non-patent literature (Citation List Non Patent Literature) NPL 1 Sandy Rolfe, The importance of respiratory rate monitoring, British Journal of Nursing, 2019. NPL 2 Zhicheng Yang, et. al., Monitoring vital signs using millimeter wave, MobiHoc’ 16, 2016. NPL 3 Takuya Sakamoto, Recent progress in millimeter-wave radar signal processing, 12th Global Symposium on Millimeter Waves, 2019.

Summary of the Invention

[0006] According to an aspect of the present invention, a biological information acquisition device includes at least one transmitting antenna and at least one receiving antenna, and transmits ultra-wideband millimeter waves Subject and is configured to receive ultra-wideband millimeter waves reflected from Subject , an ultra-wideband millimeter-wave radar system, and converts the received ultra-wideband millimeter waves into Subject radar signals reflected by, stores the radar signals, calculates a differential signal between the radar signals at each position, calculates the intensity of the differential signal at each position, Subject and a controller including a circuit for estimating the respiratory interval, heart rate interval and position of

[0007] A more complete understanding of the present invention, and many of the advantages attendant thereto, will be readily obtained as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings.

Brief Description of the Drawings

[0008]

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DETAILED DESCRIPTION OF THE INVENTION

[0009] The embodiments will be described with reference to the accompanying drawings. In any of the various drawings, like reference numerals designate corresponding or identical elements.

[0010] A biological information acquisition device according to an embodiment of the present invention Subject transmits microwaves thereto and uses the evaluation of the differential signal intensity of the radar signal to Subject estimate the respiratory interval of. FIG. 1 shows a schematic diagram of a sleep apnea treatment device using an embodiment of the present invention. The microwave radar system 102 includes at least one transmitting antenna 104 and at least one receiving antenna 106. The microwave 108 is transmitted from the transmitting antenna 104. The transmitted microwave 108 can be modulated using one of the pulse compression techniques, for example, the m-sequence. The transmitted microwave is SubjectIt is reflected by the body surface of 100. The reflected microwave is received by the receiving antenna 106. The system controller 110 converts a plurality of received microwaves into a plurality of radar signals, stores the radar signals in 112, calculates the difference signal between the radar signals in 114, calculates and evaluates the intensity of the difference signal in 116, Subject and includes a circuit configured to estimate the breathing interval, heart rate interval, and position in 118. The system controller 110 may be a computer including a central processing unit (CPU) and memories such as a read only memory (ROM) and a random access memory (RAM). The CPU of the controller may be a single-core processor (including a single processing unit) or a multi-core processor. The computer may be a mobile device such as a personal digital assistant (PDA), a laptop computer, a field programmable gate array, or a cellular phone. A computer including a central processing unit (CPU) and memories such as a read only memory (ROM) and a random access memory (RAM) can include the system controller 110. The system controller 110 can manage the transfer and processing of information. The system controller 110 or the computer can store the radar signals in 112.

[0011] The ultra-wideband millimeter wave radar system 200 can be used. FIG. 2 shows a schematic diagram of a sleep apnea treatment device utilizing an embodiment of the present invention. The ultra-wideband millimeter wave radar system 200 includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter wave 202 can be modulated using a pulse compression technique, for example, one of the m-sequences. The transmitted ultra-wideband millimeter wave Subject is reflected by the body surface of 100. The reflected ultra-wideband millimeter wave is received by the receiving antenna 106. The system controller 110 converts a plurality of received ultra-wideband millimeter waves into a plurality of radar signals, stores the radar signals in 112, calculates the difference signal between the radar signals in 114, calculates and evaluates the intensity of the difference signal in 116,Subject including a circuit configured to estimate the breathing interval, heartbeat interval, and position 118. The ultra-wideband millimeter-wave radar system can detect and identify a plurality of Subject at different distances.

[0012] For example, Subject the breathing interval, heartbeat interval, and / or position can be estimated by the time difference that minimizes the intensity of the differential signal at each position. An example of minimizing the intensity of the differential signal at a certain position is given by the following equation.

Equation

Equation

[0013] Regarding breathing interval estimation, the time difference T may be minimized within the possible range of the breathing interval. The controller including the circuit of this biological information acquisition device may be configured to estimate the breathing interval of Subject by the time difference at which the intensity of the differential signal at each position is minimized within the range of 0.2 to 10 seconds.

[0014] Regarding the estimation of the cardiac cycle interval, the time difference T may be minimized within the possible range of the cardiac cycle interval. The controller provided with the circuit of the present biological information acquisition device may be configured to estimate the cardiac cycle interval by the time difference at which the intensity of the differential signal at each position is minimized within the range of 0.1 to 2 seconds of the time difference. Subject

[0015] For example, Subject to estimate the respiratory interval, cardiac cycle interval, and / or position of , Subject the time difference T may be minimized within the possible range of the respiratory interval and / or cardiac cycle interval of Subject . The controller provided with the circuit of the present biological information acquisition device may be configured to input Subject information and set the range of the time difference at which the intensity of the differential signal is minimized to the possible range of the respiratory interval and / or cardiac cycle interval of

[0016] The controller provided with the circuit of the present biological information acquisition device may apply at least one smoothing filter including a median filter, a moving average filter, and a Hampel filter to the intensity of the differential signal at each position in the time domain and / or the spatial domain for Subject the respiratory interval and / or cardiac cycle interval of Subject . For example, the controller provided with the circuit of the present biological information acquisition device may apply at least one smoothing filter including a median filter, a moving average filter, and a Hampel filter to the respiratory interval and / or cardiac cycle interval of

Equation

[0017] In addition, when a significant decrease in the intensity of the differential signal, respiratory interval, and / or cardiac cycle interval is detected at a certain position, the controller provided with the circuit of the present biological information acquisition device may Subject determine that ​

[0018] The radar system of the biological information acquisition device includes a plurality of transmitting antennas and / or a plurality of receiving antennas, and is configured to transmit a plurality of electromagnetic waves in a plurality of directions and / or receive a plurality of received electromagnetic waves reflected from a plurality of directions. The controller including the circuit of the biological information acquisition device may be configured to estimate the breathing interval, heartbeat interval, and / or position of at least one of the plurality of directions. Subject It may be configured to estimate the breathing interval, heartbeat interval, and / or position of at least one of the plurality of directions.

[0019] The biological information acquisition device according to an embodiment of the present invention may further include a drive unit connected to the radar system. The controller including the circuit of the biological information acquisition device may be configured to direct the transmitting antenna and the receiving antenna in the measurement direction and estimate the breathing interval, heartbeat interval, and / or position of at least one of the plurality of directions. Subject It may be configured to estimate the breathing interval, heartbeat interval, and / or position of at least one of the plurality of directions.

[0020] The biological information acquisition device according to an embodiment of the present invention may further include a plurality of radar systems configured to include at least one transmitting antenna and at least one receiving antenna, transmit a plurality of electromagnetic waves to a plurality of positions, and receive a plurality of electromagnetic waves reflected from a plurality of positions. The controller including the circuit of the biological information acquisition device may be configured to synchronize the radar systems and use frequency division multiple access technology or code division multiple access to estimate the breathing interval, heartbeat interval, and / or position of a plurality of without interference. Subject It may be configured to estimate the breathing interval, heartbeat interval, and / or position of a plurality of without interference.

[0021] The controller including the circuit of the biological information acquisition device calculates the amount of change in the radar signal at each position in the time domain and uses the amount of change in the radar signal and / or the intensity of the radar signal to determine the presence of breathing and / or the presence at its position. An example of the amount of change in the radar signal is given by the following formula. Sub ject The presence of breathing and / or the presence at its position Subject It may be configured to determine. An example of the amount of change in the radar signal is given by the following formula.

Equation

[0022] The controller including the circuit of the biological information acquisition device determines that there is apnea or hypopnea when the amount of change in the radar signal decreases and / or when the amount of change in the intensity of the differential signal in the time domain decreases. Subject It may be configured to make a determination.

[0023] The controller including the circuit of the biological information acquisition device determines that recovery from apnea or hypopnea has occurred when the amount of change in the radar signal increases and / or when the amount of change in the intensity of the differential signal in the time domain increases. Subject It may be configured to make a determination.

[0024] The controller including the circuit of the biological information acquisition device may be configured to transmit biological information to a remote server. The biological information acquisition device according to an embodiment of the present invention may further include at least one biological information transmission device including a circuit for transmitting biological information to a remote server including a remote data storage device in a cloud computing environment.

[0025] The biological information acquisition method according to an embodiment of the present invention stores time-series data corresponding to biological information, calculates a differential signal, evaluates the differential signal intensity, and Subject estimates the respiratory interval, heartbeat interval, and / or position. FIG. 4 is a schematic diagram of a biological information acquisition method for estimating the Subject respiratory interval based on the time difference at which the intensity of the differential signal is minimized. The biological information acquisition method according to an embodiment of the present invention stores 400 time-series data corresponding to biological information, calculates 402 a differential signal between the time-series data, calculates and evaluates 404 the intensity of the differential signal between the time-series data, and Subject estimates 406 the respiratory interval, heartbeat interval, and position.

[0026] The biological information acquisition method according to an embodiment of the present invention may estimate the breathing interval, heartbeat interval, and / or position based on the time difference at which the intensity of the differential signal is minimized. Subject

[0027] Further, the biological information acquisition method according to an embodiment of the present invention may extract a plurality of portions of time-series data using one of window functions including a rectangular window, a B-spline window, a Hann window, a Hamming window, and a Tukey window. FIG. 5 shows a schematic diagram of a biological information acquisition method for extracting a plurality of portions of time-series data using one of window functions including a rectangular window, a B-spline window, a Hann window, a Hamming window, and a Tukey window for the calculation of the differential signal. The biological information acquisition method according to an embodiment of the present invention stores time-series data 400 corresponding to biological information, extracts a plurality of portions of the time-series data corresponding to the biological information 500, calculates a differential signal between the time-series data 402, calculates and evaluates the intensity of the differential signal between the time-series data 404, Subject and estimates the breathing interval, heartbeat interval, and position 406.

[0028] The biological information acquisition method according to an embodiment of the present invention calculates the amount of change in the time-series data corresponding to the biological information, and uses the amount of change and / or intensity of the time-series data corresponding to the biological information to Subject determine the presence of breathing and / or Subject the presence of

[0029] The biological information acquisition method according to an embodiment of the present invention applies at least one smoothing filter including a median filter, a moving average filter, and a Hampel filter to the intensity of the differential signal at each position, Subject the breathing interval, the amount of change in the time-series data corresponding to the biological information, the intensity of the time-series data corresponding to the biological information, and / or Subject the heartbeat interval in the time domain and / or the spatial domain.

[0030] The biological information acquisition device according to an embodiment of the present invention transmits microwaves to a plurality of Subject and uses the signal correlation between radar signals acquired by different radars to a plurality of SubjectEstimate the biological information. FIG. 6 shows a plurality of Subject Transmit microwaves to Subject , and use the signal correlation between radar signals obtained by different radars to estimate the biological information of a plurality of Subject A schematic diagram of a biological information acquisition device is shown. The biological information acquisition device includes at least two microwave radars. The microwave radar 600 includes at least one transmitting antenna 104 and at least one receiving antenna 106. The microwave 108 is transmitted from the transmitting antenna 104. The transmitted microwave 108 can be modulated using one of the pulse compression techniques, for example, the m-sequence. The transmitted microwave is Subject Reflected by the body surface of 100. The reflected microwave is received by the receiving antenna 106. The system controller 110 equipped with a circuit converts a plurality of received microwaves into a plurality of radar signals, stores the radar signals 112, calculates the correlation of the radar signals obtained by different radars 604, and is configured to detect the same Subject Position 606 obtained by different radars.

[0031] Ultra-wideband millimeter-wave radars can be used. FIG. 7 shows a plurality of Sub ject Transmit ultra-wideband millimeter waves to Sub , and use the signal correlation between radar signals obtained by different radars to estimate the biological information of a plurality of Subject A schematic diagram of a biological information acquisition device is shown. The biological information acquisition device includes at least two ultra-wideband millimeter-wave radars 706 and 708. The ultra-wideband millimeter-wave radar includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter wave 202 can be modulated using one of the pulse compression techniques, for example, the m-sequence. The transmitted ultra-wideband millimeter wave is a plurality of SubjectThey are reflected on the body surfaces of 700, 702, and 704. The reflected ultra-wideband millimeter waves are received by the receiving antenna 106. A system controller 110 equipped with a circuit converts a plurality of received ultra-wideband millimeter waves 202 into a plurality of radar signals, stores the radar signals 112, calculates the correlation of the radar signals acquired by different radars 604, and is configured to detect the same Subject position acquired by different radars 606.

[0032] The virtual array radar may be synthesized from an ultra-wideband millimeter wave radar having a plurality of transmitting antennas and a plurality of receiving antennas when the target distance is sufficiently longer than the array size of the radar and the mutual coupling between the antennas can be ignored. The controller equipped with the circuit of the biological information acquisition device may be configured to synthesize a virtual array radar from each ultra-wideband millimeter wave radar with a plurality of transmitting antennas and a plurality of receiving antennas. When the ultra-wideband millimeter wave radar has three transmitting antennas and four receiving antennas, a total of 12 channels of virtual array radar can be synthesized.

[0033] The biological information acquisition device can construct complex radar image data using one of the beamforming techniques. When the biological information acquisition device uses an FMCW ultra-wideband millimeter wave radar, complex radar image data can be acquired by applying the Fourier transform in the fast time direction and the Fourier transform in the channel number domain of the virtual array.

[0034] The controller equipped with the circuit of the biological information acquisition device may be configured to subtract the DC component of the radar image data to suppress the contribution of static clutter. The DC component of the complex radar image data includes the time average of the radar image data as follows.

Equation

[0035] The controller equipped with the circuit of the biological information acquisition device may be further configured to detect target candidates of a plurality of people and / or animals using the radar image data and estimate their positions. To detect the above candidates, the power of the complex radar image data given by the following equation can be used.

Equation

[0036] The controller equipped with the circuit of the biological information acquisition device may be further configured to construct respiratory image data from the radar image data to detect a plurality of people and / or animal targets and their positions. The construction of the respiratory image data includes applying a band-pass filter to the actual radar image data and applying a band-pass filter to the phase information of the complex radar image data. An example of the respiratory image data τr(t, r, θ) obtained by applying a band-pass filter to the phase information of the complex radar image data is given by the following equation.

Equation

Equation

Equation

Equation

[0037] The controller including the circuit of the biological information acquisition device may be further configured to construct respiratory interval radar image data, and the respiratory interval radar image data includes respiratory interval information at all or some of the coordinates of the radar image data. To reduce the computational load, the respiratory rate at the coordinates may be calculated with high power, that is, the respiratory rate may be calculated under the condition of Ip(t,r,θ)>Ithre.

[0038] The controller including the circuit of the biological information acquisition device may be further configured to detect a plurality of human and / or animal targets using one of the clustering techniques and estimate their positions, and the clustering techniques include the X-mean algorithm and the k-mean algorithm.

[0039] The controller including the circuit of the biological information acquisition device may individually apply one of the clustering techniques to the respiratory interval radar image data acquired by each ultra-wideband millimeter-wave radar, and synthesize the clusters acquired by each respiratory interval radar image data.

[0040] The controller including the circuit of the biological information acquisition device may be configured to calculate the correlation between the respiratory interval information in all the clusters acquired by different radars. An example of the correlation between the respiratory interval information is given by the following formula.

Equation

Equation

[0041] The controller including the circuit of the biological information acquisition device may be configured to align the coordinate systems of different radars using at least two cluster pairs of different radars having the highest correlation value of the respiration interval information. For example, the cluster pairs of different radars with a high correlation value of the respiration interval information given by Equation (11) indicate that the two clusters are the same Subject obtained by. An example of the alignment process using two cluster pairs of different radars is Procrustes analysis. FIG. 8 shows a schematic diagram of a biological information acquisition device that aligns the coordinate systems of different ultra-wideband millimeter wave radars. The biological information acquisition device includes at least two ultra-wideband millimeter wave radars 706 and 708. The ultra-wideband millimeter wave radar includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter wave 202 can be modulated using one of the pulse compression techniques, for example, the m-sequence. The transmitted ultra-wideband millimeter wave is reflected by the body surfaces of a plurality of Subject 700, 702, 704. The reflected ultra-wideband millimeter wave is received by the receiving antenna 106. The system controller 110 including the circuit converts a plurality of received ultra-wideband millimeter waves 202 into a plurality of radar signals, stores the radar signals 112, calculates the respiration interval information 800, and detects the same Subj ect position 606 and is configured to align the measurement coordinate systems of different ultra-wideband millimeter wave radars 802.

[0042] A controller including a circuit of a biological information acquisition device may be configured to align coordinate systems of different radars using two cluster pairs of different radars with the highest correlation value of respiratory interval information, and may be configured to align coordinate systems of different radars using all cluster pairs of different radars. The alignment information obtained by two cluster pairs of different radars with the highest correlation value of respiratory interval information is used as an initial value of an alignment procedure using all cluster pairs of different radars. FIG. 9 shows a schematic diagram of a biological information acquisition device that aligns coordinate systems of different ultra-wideband millimeter wave radars and calculates biometric information. The biological information acquisition device includes at least two ultra-wideband millimeter wave radars 706 and 708. The ultra-wideband millimeter wave radar includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter wave 202 can be modulated using one of pulse compression techniques, for example, an m-sequence. The transmitted ultra-wideband millimeter wave is reflected by the body surfaces of a plurality of Subject 700, 702, and 704. The reflected ultra-wideband millimeter wave is received by the receiving antenna 106. A system controller 110 including a circuit converts a plurality of received ultra-wideband millimeter waves 202 into a plurality of radar signals, stores the radar signals 112, synthesizes a virtual array radar from each ultra-wideband millimeter wave radar with a plurality of transmitting antennas and a plurality of receiving antennas 900, constructs complex or real radar image data using one of beamforming techniques 902, calculates the power of the radar image data 904, calculates respiratory interval information 800, applies one of clustering techniques to the respiratory interval radar image data 906, detects the same Subj ect position acquired by different radars 606, aligns the measurement coordinate systems of different ultra-wideband millimeter wave radars 802, and is configured to calculate all Subject biometric information 908.

[0043] The controller including a circuit of the biological information acquisition device may delete cluster pairs of different radars when positions measured by different radars are far apart.

[0044] The measurement ranges of different ultra-wideband millimeter-wave radars may partially overlap. FIG. 10 shows a schematic diagram of a biological information acquisition device in which the measurement ranges of different ultra-wideband millimeter-wave radars partially overlap. The biological information acquisition device includes at least two ultra-wideband millimeter-wave radars 706 and 708. The ultra-wideband millimeter-wave radar includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter-wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter-wave 202 can be modulated using one of the pulse compression techniques, for example, the m-sequence. The transmitted ultra-wideband millimeter-wave is a plurality of Subject reflected by the body surfaces of 700, 702, and 704. The reflected ultra-wideband millimeter-wave is received by the receiving antenna 106. The system controller 110 equipped with a circuit converts a plurality of received ultra-wideband millimeter-waves 202 into a plurality of radar signals, stores the radar signals 112, calculates the correlation of the radar signals acquired by different radars 604, and detects the same Subject by different radars 1000, Subject estimates the position 1008, and is configured to calculate biometric information 908. Subject An example of position estimation is Subject to use the power ratio table 1006 between all radars regarding the position. In the case of FIG. 10, Subject the signal power of A700 is received by both radar A and radar B. The signal power of B702 received by radar A706 is much larger than that received by radar B708, and the signal power of C704 received by radar A706 is much smaller than that received by radar B708. The device according to the embodiment of the present invention detects the same Subject by different radars 606, Subject and estimates their positions using the power ratio table 1006 between all radars regarding the position. Subject by different radars 606, Subject and estimates their positions using the power ratio table 1006 between all radars regarding the position.

[0045] At least one ultra-wideband millimeter-wave radar of the biological information acquisition device may transmit and receive a plurality of ultra-wideband millimeter-waves at a sampling rate of 20 milliseconds or less in order to measure the heartbeat interval. Generally, the heartbeat interval is from 0.5 to 1 second.

[0046] At least one ultra-wideband millimeter-wave radar of the biological information acquisition device may transmit and receive a plurality of ultra-wideband millimeter-waves at a sampling rate of 1 to 20 milliseconds in order to measure the heartbeat interval. Generally, the heartbeat interval is from 0.5 to 1 second.

[0047] The biological information acquisition method according to an embodiment of the present invention stores radar signals, calculates the correlation between radar signals acquired by different radars, and detects the same Subject position acquired by different radars.

[0048] The biological information acquisition method according to an embodiment of the present invention stores radar signals, calculates respiration interval information, detects the same Subject position acquired by different radars, and aligns the measurement coordinate systems of different ultra-wideband millimeter-wave radars.

[0049] The biological information acquisition method according to an embodiment of the present invention stores radar signals, calculates the correlation between radar signals acquired by different radars, detects the same Subject position acquired by different radars, Subject estimates the position, calculates biometric information, Subject the estimation of the position Subject includes the adoption of a power ratio table between all radars for the position.

[0050] The biological information acquisition device according to an embodiment of the present invention transmits ultra-wideband millimeter-waves to a plurality of Subject and estimates the biological information of a plurality of Subject using the signal correlation between radar signals acquired by different radars. FIG. 11 shows transmitting ultra-wideband millimeter-waves to a plurality of Subject and a plurality of SubjectThe schematic diagram of a biological information acquisition device for estimating biological information is shown. The biological information acquisition device includes at least two ultra-wideband millimeter-wave radars 706 and 708. The ultra-wideband millimeter-wave radar includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter-wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter-wave 202 can be modulated using one of the pulse compression techniques, for example, the m-sequence. The transmitted ultra-wideband millimeter-wave is reflected by the body surfaces of a plurality of Subject 700, 702, 704. The reflected ultra-wideband millimeter-wave is received by the receiving antenna 106. A system controller 110 equipped with a circuit converts a plurality of received ultra-wideband millimeter-waves 202 into a plurality of radar signals, stores the radar signals 112, calculates the correlation of the radar signals acquired by different radars 604, and detects the same Subject obtained by different radars 1000, Subject estimates the position 1008, and is configured to calculate biometric information 908. Subject An example of position estimation is Subject all or part of the Re using the power ratio table 1006 between the radars for the position. Subject Another example of position estimation is the adoption of triangulation using all or part of the distance information of the radar. The distance information can be calculated from the time-of-flight information between each Subject and each radar. In the case of FIG. 11, Subject the signal power of A700 is received by both radar A and radar B. The Subject signal power of B702 received by radar A706 is much larger than that received by radar B708, and the Subject signal power of C705 received by radar A706 is much smaller than that received by radar B708. The device according to the embodiment of the present invention detects the same Subject obtained by different radars 1000, Subject and estimates their positions using the power ratio table 1006 between all the radars for the position. Also, by using triangulation using the distance information from at least two radars, SubjectThe position may be calculated. For example, Sub ject The two-dimensional position of B is between radar A and Subject The distance 1100 between B and the distance between radar B and Subj ect B can be positioned by using triangulation with the distance 1102 between B. Each Subject The three-dimensional position of requires at least three radars by adopting triangulation. Each Subject and The distance between each radar may be calculated from the time-of-flight information. Triangulation, sometimes called 3D TOF (time-of-flight), is useful when the distance between radars is sufficiently longer than the measurement accuracy of the distance between each Subject and each radar.

[0051] The biological information acquisition device according to an embodiment of the present invention includes at least two ultra-wideband millimeter-wave radars, and each of the at least two ultra-wideband millimeter-wave radars includes at least one transmitting antenna and at least one receiving antenna, and transmits a plurality of ultra-wideband millimeter-waves to a plurality of Subject and is configured to receive a plurality of ultra-wideband millimeter-waves reflected by Subject convert the plurality of received ultra-wideband millimeter-waves into a plurality of radar signals, store the radar signals, construct radar data at each position, calculate the power of the radar data, estimate respiratory information, apply one of the clustering techniques to the respiratory interval radar data, detect the same Subject obtained by different radars, SubjectIt may also include a controller equipped with a circuit configured to estimate a position and calculate biometric information. The respiration information estimation includes applying a band-pass filter to the actual radar data and applying a band-pass filter to the phase information of the complex radar image data. The respiration interval radar data includes respiration interval information at all or part of the distances of the radar image data. The clustering techniques include the X-average algorithm and the k-average algorithm. FIG. 12 shows a schematic diagram of a biological information acquisition device that aligns the coordinate systems of different ultra-wideband millimeter-wave radars to calculate biometric information. The biological information acquisition device includes at least two ultra-wideband millimeter-wave radars 706 and 708. The ultra-wideband millimeter-wave radar includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter-wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter-wave 202 can be modulated using one of the pulse compression techniques, for example, the m-sequence. The transmitted ultra-wideband millimeter-wave is reflected by the body surfaces of a plurality of Subject 700, 702, 704. The reflected ultra-wideband millimeter-wave is received by the receiving antenna 106. The system controller 110 equipped with a circuit converts a plurality of received ultra-wideband millimeter-waves 202 into a plurality of radar signals, stores the radar signals 112, constructs complex or actual radar data at each distance for each radar 1200, calculates the power of the radar data 1202, calculates the respiration interval information 800, applies one of the clustering techniques to the respiration interval radar data 906, and detects the same Subject obtained by different radars 1000, Subject estimates the position 1008, and is configured to calculate biometric information 908. Subject An example of position estimation is Subject the adoption of a power ratio table 1006 between all radars regarding the position. In the case of FIG. 12, Subject the signal power of A700 is received by both radar A and radar B. The Subject signal power of B702 received by radar A706 is much larger than that received by radar B708, and the SubjectThe signal power of C704 is much smaller than that received by radar B708. The device according to the embodiment of the present invention detects the same Subject at 606, Subject and estimates their positions using the power ratio table 1006 between all radars regarding the position. Subject Another example of position estimation is the adoption of triangulation using distance information of all or part of the radars. The distance information can be calculated from the time-of-flight information between each Subject and each radar.

[0052] Since the device according to the embodiment of the present invention does not use beamforming that requires accurate phase synchronization, the synchronization accuracy of the biological information acquisition device between radars may be 1 nanosecond or less.

[0053] At least four radars of the biological information acquisition device may be positioned at the four corners of the device. FIG. 13 shows a schematic diagram of a biological information acquisition device using four radars positioned at the four corners of the device. This configuration enables the distance between radars to be increased, and using one of the triangulation techniques, Subject it brings higher accuracy in the location identification of

[0054] At least three radars of the biological information acquisition device may be positioned in a triangular shape. FIG. 14 shows a schematic diagram of a biological information acquisition device using three radars positioned in a triangular shape. This configuration enables the distance between radars to be increased, and using one of the triangulation techniques, Subject it brings higher accuracy in the location identification of

[0055] Even when the distance between radars is short, this configuration can partially overlap the measurement ranges of different ultra-wideband millimeter-wave radars, and as a result, Subject using the power ratio table between all radars for the position SubjectSince the position-specific accuracy is high, the measurement directions of different radars of the biological information acquisition device may be different. FIG. 15 shows a schematic diagram of the biological information acquisition device, and the measurement directions of different radars of the biological information acquisition device are different. In this configuration, Subject The signal power of A700 is received by both radar A and radar B. The signal power received by radar A706 Subject The signal power of B702 is much larger than that received by radar B708, and the signal power received by radar A706 Subject The signal power of C704 is much smaller than that received by radar B708.

[0056] The biological information acquisition device according to an embodiment of the present invention may use at least two radar sites in order to improve the position-specific accuracy. This is because this setting makes it possible to increase the distance between radars and partially overlap the measurement ranges of different radars.

[0057] The biological information acquisition device according to an embodiment of the present invention may be installed in a television, a cellular phone, or a device having a charging function.

[0058] Transmitting ultra-wideband millimeter waves to at least one person's Subject and estimating the biological information of at least one person's Subject The biological information acquisition device according to an embodiment of the present invention includes at least one transmitting antenna and at least one receiving antenna, transmits a plurality of ultra-wideband millimeter waves to a plurality of Subject and is configured to receive a plurality of ultra-wideband millimeter waves reflected by Subject at least one ultra-wideband millimeter wave radar, converts a plurality of received ultra-wideband millimeter waves into a plurality of radar signals, stores the radar signals, detects scattering, classifies the scattering into scattering clusters, selects at least one scattering cluster, SubjectA controller comprising a circuit configured to estimate a position and calculate biometric information, wherein the scatter detection may use a threshold selection regarding signal intensity, the scatter classification may use one of clustering algorithms including density-based spatial clustering of applications with noise, and the cluster selection may use the scatter density and / or the distance between the scatter cluster and the radar. An example of scatter cluster selection can use the scatter density and distance given by the following formula. [Number] Here, mk is the scatter density of the k-th scatter cluster, and rk is the average distance of the scatter belonging to the k-th scatter cluster.

[0059] The biometric information acquisition device according to an embodiment of the present invention may estimate the position by the centroid of the scatter belonging to the selected scatter cluster. Subject The position may be estimated.

[0060] The biometric information acquisition device according to an embodiment of the present invention indicates that the scatter with high signal intensity is the scatter corresponding to the body surface. Since the scatter corresponding to the body surface should position the centroid of the scatter belonging to the selected scatter cluster, the signal intensity of the scatter and the distance between the scatter and the centroid of the scatter belonging to the selected scatter cluster are used to Subject estimate the position. Subject The position may be estimated.

[0061] The biometric information acquisition device according to an embodiment of the present invention may apply phase unwrapping to the radar signal of the selected scatter cluster. Most of the ultra-wideband millimeter-wave radars of this device have a plurality of SubjectTo measure the speed, a plurality of equally spaced ultra-wideband millimeter waves are transmitted. This set is usually called a frame. For example, a controller comprising a circuit of the present apparatus uses phase unwrapping to calculate the phase of the radar signal of the selected scattering cluster in each frame, and the controller comprising the circuit applies phase unwrapping using the phases of a plurality of radar signals in the previous frame. By applying phase unwrapping, the occurrence of aliasing is suppressed.

[0062] The controller comprising the circuit of the present biological information acquisition apparatus calculates the displacement of the body surface of at least one Subject person, applies one of a low-pass filter or a band-pass filter to the displacement, calculates a baseline of the filtered displacement using one of the smoothing filters, detects a respiratory interval using the intersection of the filtered displacement and the baseline, and may be further configured to calculate a respiratory rate and / or a heart rate. The smoothing filter includes a moving average, a low-pass filter, a Kalman filter, exponential smoothing, a Butterworth filter, and the maximum and minimum averages using a sliding window. An example of the average of the maximum value and the minimum value using a sliding window is given by the following formula.

Equation

[0063] The controller comprising the circuit of the present biological information acquisition apparatus may be configured to calculate the frequency of the displacement at the maximum power, and one of the low-pass filter or the band-pass filter applied to the displacement passes at least the frequency of the displacement at the maximum power.

[0064] A controller including the circuit of the biological information acquisition device calculates the frequency of displacement at maximum power, estimates the respiratory interval from the frequency of displacement at maximum power, and the window width of the smoothing filter used to calculate the baseline of the filtered displacement is greater than or equal to the estimated respiratory interval. An example of the respiratory interval estimated from the frequency of displacement at maximum power is the reciprocal of the frequency of displacement at maximum power. The window width of the smoothing filter used to calculate the baseline of the filtered displacement may range from the estimated respiratory interval to twice the estimated respiratory interval.

[0065] The controller including the circuit of the biological information acquisition device may be further configured to calculate the fluctuation range of the displacement or the filtered displacement and determine whether apnea or respiratory arrest has occurred or whether the radar signal does not include a respiratory signal, because a small fluctuation range of the displacement or the filtered displacement indicates the absence of a radar signal caused by the body surface displacement resulting from respiration.

[0066] The controller including the circuit of the biological information acquisition device may be further configured to extract a part of the displacement with small fluctuations, apply one of the band-pass filters to the extracted displacement, use one of the smoothing filters to calculate the baseline of the extracted filtered displacement, detect the heart rate interval using the intersection of the extracted filtered displacement and the baseline of the extracted filtered displacement, and calculate the heart rate. The smoothing filter includes a moving average, a low-pass filter, a Kalman filter, exponential smoothing, a Butterworth filter, and the maximum and minimum averages using a sliding window.

[0067] The controller including the circuit of the biological information acquisition device may be configured to estimate the respiratory rate and / or the heart rate from the median of the respiratory interval and / or the median of the heart rate interval.

[0068] The method for acquiring biological information according to an embodiment of the present invention stores radar signals, calculates the correlation between radar signals acquired by different radars, detects the same Subject and estimates the Sub ject position, calculates biometric information, Subject The estimation of the position includes Subject adopting a power ratio table between all or part of the radars with respect to the position and adopting triangulation using distance information of all or part of the radars.

[0069] The method for acquiring biological information according to an embodiment of the present invention stores radar signals, detects scattering, classifies the scattering into scattering clusters, selects at least one scattering cluster, Subject estimates the position, calculates biometric information, the scattering detection may use threshold selection regarding signal intensity, the scattering classification may use one of clustering algorithms including density-based spatial clustering of applications with noise, and the cluster selection may use scattering density and / or the distance between the scattering cluster and the radar.

[0070] The method for acquiring biological information according to an embodiment of the present invention stores a plurality of radar signals, detects scattering, classifies the scattering into scattering clusters, selects at least one scattering cluster, Subject estimates the position, calculates biometric information, the scattering detection may use threshold selection regarding signal intensity, the scattering classification may use one of clustering algorithms including density-based spatial clustering of applications with noise, the cluster selection may use scattering density and / or the distance between the scattering cluster and the radar, and at least one SubjectCalculate the displacement of the body surface, apply one of a low-pass filter or a band-pass filter to the displacement, calculate a baseline of the filtered displacement using one of the smoothing filters, detect a respiratory interval using an intersection of the filtered displacement and the baseline, calculate a respiratory rate, and the smoothing filters include a moving average, a low-pass filter, a Kalman filter, exponential smoothing, a Butterworth filter, and a maximum and minimum average using a sliding window.

[0071] First exemplary embodiment FIG. 9 shows a schematic diagram of a biological information acquisition device that aligns coordinate systems of different ultra-wideband millimeter-wave radars to calculate biometric information. The biological information acquisition device includes at least two ultra-wideband millimeter-wave radars 706 and 708. The ultra-wideband millimeter-wave radar includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter-wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter-wave 202 can be modulated using one of pulse compression techniques, for example, an m-sequence. The transmitted ultra-wideband millimeter-wave is reflected by the body surfaces of a plurality of Subject 700, 702, and 704. The reflected ultra-wideband millimeter-wave is received by the receiving antenna 106. A system controller 110 including a circuit converts a plurality of received ultra-wideband millimeter-waves 202 into a plurality of radar signals, stores the radar signals 112, synthesizes a virtual array radar from each ultra-wideband millimeter-wave radar having a plurality of transmitting antennas and a plurality of receiving antennas 900, constructs complex or real radar image data using one of beamforming techniques 902, calculates the power of the radar image data 904, calculates respiratory interval information 800, applies one of clustering techniques to the respiratory interval radar image data 906, detects the same Subject position acquired by different radars 606, aligns the measurement coordinate systems of different ultra-wideband millimeter-wave radars 802, and is configured to calculate all Subject biometric information 908. The parameter of TC in Equation (5) is 30 seconds, and the parameter of TP in Equation (6) is 20 seconds.

[0072] Second Exemplary Embodiment FIG. 10 shows a schematic diagram of a biological information acquisition device in which the measurement ranges of different ultra-wideband millimeter-wave radars partially overlap. The biological information acquisition device includes at least two ultra-wideband millimeter-wave radars 706 and 708. The ultra-wideband millimeter-wave radar includes one transmitting antenna 104 and one receiving antenna 106. The ultra-wideband millimeter-wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter-wave 202 can be modulated using, for example, m-sequence, which is one of the pulse compression techniques. The transmitted ultra-wideband millimeter-wave is reflected by the body surfaces of a plurality of Subject 700, 702, and 704. The reflected ultra-wideband millimeter-wave is received by the receiving antenna 106. A system controller 110 equipped with a circuit converts a plurality of received ultra-wideband millimeter-waves 202 into a plurality of radar signals, stores the radar signals in 112, calculates the correlation of the radar signals acquired by different radars in 604, and detects the same Subject in 1000, Subject estimates the position in 1008, and is configured to calculate biometric information in 908. Subject The position is Subject estimated by adopting a power ratio table 1006 among all radars regarding the position. In the case of FIG. 10, Subject the signal power of A700 is received by both radar A and radar B. The signal power of Subject B702 received by radar A706 is much larger than that received by radar B708, and the signal power of Subject C704 received by radar A706 is much smaller than that received by radar B708. The device according to the embodiment of the present invention detects the same Subject in 606, Subject and estimates their positions using the power ratio table 1006 among all radars regarding the position.

[0073] Third Exemplary Embodiment FIG. 11 transmits ultra-wideband millimeter-waves to a plurality of Subject and a plurality of SubjectShows a schematic diagram of a biological information acquisition device for estimating biological information. The biological information acquisition device includes at least two ultra-wideband millimeter-wave radars 706 and 708. The ultra-wideband millimeter-wave radar includes at least one transmitting antenna 104 and at least one receiving antenna 106. The ultra-wideband millimeter-wave 202 is transmitted from the transmitting antenna 104. The transmitted ultra-wideband millimeter-wave 202 can be modulated using one of the pulse compression techniques, for example, the m-sequence. The transmitted ultra-wideband millimeter-wave is a plurality of Subject Reflected by the body surfaces of 700, 702, and 704. The reflected ultra-wideband millimeter-wave is received by the receiving antenna 106. The system controller 110 equipped with a circuit converts a plurality of received ultra-wideband millimeter-waves 202 into a plurality of radar signals, stores the radar signals 112, calculates the correlation of the radar signals acquired by different radars 604, and detects the same Subject And detects it 1000, Subject Estimates the position 1008 and is configured to calculate biometric information 908. Subject An example of position estimation is Subject The adoption of a power ratio table 1006 between all or part of the radars with respect to the position. Subject Another example of position estimation is the adoption of triangulation using the distance information of all or part of the radars. The distance information can be calculated from the time-of-flight information between each Subject And each radar. In the case of FIG. 11, Subject The signal power of A700 is received by both radar A and radar B. The Subject Signal power of B702 received by radar A706 is much larger than that received by radar B708, and the Subject Signal power of C704 received by radar A706 is much smaller than that received by radar B708. The device according to the embodiment of the present invention detects the same Subject And detects it 1000, Subject Estimates their positions using the power ratio table 1006 between all radars regarding the position. Also, by adopting triangulation using the distance information from at least two radars, Subject The position of may be calculated. For example,Subject The two-dimensional position of B is between radar A and Subj ect the distance 1100 between B, and between radar B and Subject B can be positioned by adopting triangulation using the distance 1102. Each Subject three-dimensional position requires at least three radars by adopting triangulation. The distance between each Subject and each radar may be calculated from the time-of-flight information. Triangulation, sometimes called 3D TOF (time-of-flight), is useful when the distance between radars is much longer than the measurement accuracy of the distance between each Subject and each radar.

[0074] Fourth exemplary embodiment Transmit ultra-wideband millimeter waves to at least one Subject and estimate the biometric information of at least one Subject The biometric information acquisition device according to an embodiment of the present invention includes at least one transmitting antenna and at least one receiving antenna, transmits a plurality of ultra-wideband millimeter waves to a plurality of Subject and is configured to receive a plurality of ultra-wideband millimeter waves reflected by Subject at least one ultra-wideband millimeter wave radar, converts a plurality of received ultra-wideband millimeter waves into a plurality of radar signals, stores the radar signals, detects scattering, classifies the scattering into scattering clusters, selects at least one scattering cluster, Subject estimates the position, and includes a controller having a circuit configured to calculate biometric information. The scattering detection may use threshold selection regarding signal intensity, the scattering classification may use one of clustering algorithms including density-based spatial clustering of applications with noise, and the cluster selection may use the scattering density and / or the distance between the scattering cluster and the radar.

[0075] Fifth exemplary embodiment The controller including the circuit of the present biometric information acquisition device is at least one person SubjectCalculate the displacement of the body surface, apply one of a low-pass filter or a band-pass filter to the displacement, calculate the baseline of the filtered displacement using one of the smoothing filters, detect the respiratory interval using the intersection of the filtered displacement and the baseline, and may be further configured to calculate the respiratory rate and / or the heart rate. The smoothing filter includes a moving average, a low-pass filter, a Kalman filter, exponential smoothing, a Butterworth filter, and the maximum and minimum averages using a sliding window. The sliding window width of the smoothing filter used to calculate the baseline of the filtered displacement ranges from the estimated respiratory interval to twice the estimated respiratory interval. The respiratory interval estimated from the frequency of the displacement at the maximum power is the reciprocal of the frequency of the displacement at the maximum power.

[0076] The present invention has the following aspects. 1. A biological information acquisition device, including at least one transmitting antenna and at least one receiving antenna, transmitting a plurality of microwaves Subject to, and receiving a plurality of microwaves reflected by the Subject a microwave radar system, and converting a plurality of received microwaves into a plurality of radar signals, storing the radar signals, calculating a difference signal between the radar signals, calculating and evaluating the intensity of the difference signal, and estimating the respiratory interval, cardiac interval, and / or position of the Subject a controller comprising a circuit configured to. A biological information acquisition device comprising. 2. A biological information acquisition device, including at least one transmitting antenna and at least one receiving antenna, and configured to transmit a plurality of ultra-wideband millimeter waves Subject to, and receive a plurality of ultra-wideband millimeter waves reflected by the Subject an ultra-wideband millimeter wave radar system, and converting a plurality of received ultra-wideband millimeter waves into radar signals, storing the radar signals, calculating a difference signal between the radar signals at each position, calculating and evaluating the intensity of the difference signal at each position, and theSubject A biological information acquisition device comprising a controller having a circuit configured to estimate the breathing interval, heartbeat interval, and / or position of the Subject . 3. The controller having the circuit is configured to estimate the breathing interval, heartbeat interval, and / or position of the Subject based on a time difference that minimizes the intensity of the differential signal at each position. Subject The biological information acquisition device according to 2, wherein the controller having the circuit is configured to estimate the breathing interval, heartbeat interval, and / or position of the Subject . 4. The controller having the circuit is configured to estimate the breathing interval of the Subject based on the time difference that minimizes the intensity of the differential signal at each position within the time difference of 0.2 to 10 seconds. Subject The biological information acquisition device according to 3, wherein the controller having the circuit is configured to estimate the breathing interval of the Subject . 5. The controller having the circuit is configured to estimate the heartbeat interval of the Subject based on the time difference that minimizes the intensity of the differential signal at each position within the time difference of 0.1 to 2 seconds. Subject The biological information acquisition device according to 3, wherein the controller having the circuit is configured to estimate the heartbeat interval of the Subject . 6. The controller having the circuit is configured to Subject input information and adjust the range of the time difference that minimizes the intensity of the differential signal to the Subject . Subject The biological information acquisition device according to 3, wherein the controller having the circuit is configured to adjust the range of the time difference that minimizes the intensity of the differential signal to the Subject . 7. The controller having the circuit is configured to apply at least one smoothing filter including a median filter, a moving average filter, and a Hampel filter to the intensity of the differential signal at each position in the time domain and / or the spatial domain for the breathing interval and / or heartbeat interval of the . Subject The biological information acquisition device according to 3, wherein the controller having the circuit is configured to apply at least one smoothing filter including a median filter, a moving average filter, and a Hampel filter to the intensity of the differential signal at each position in the time domain and / or the spatial domain for the breathing interval and / or heartbeat interval of the Subject . 8. When a significant decrease in the intensity of the differential signal, breathing interval, and / or heartbeat interval is detected at a certain position, the controller having the circuit is configured to determine that the is at a certain position. Subject The biological information acquisition device according to 3, wherein the controller having the circuit is configured to determine that the Subject is at a certain position. 9. The radar system includes a plurality of transmitting antennas and / or a plurality of receiving antennas, and is configured to transmit a plurality of electromagnetic waves in a plurality of directions and / or receive a plurality of electromagnetic waves reflected from a plurality of directions. The controller including the circuit is configured to estimate at least one Sub ject of the respiration interval, heart rate interval, and / or position, and the biological information acquisition device according to 1, 2, or 3. 10. The biological information acquisition device further includes a drive unit connected to the radar system, and the controller is configured to direct the transmitting antenna and the receiving antenna in a measurement direction to estimate at least one Subject of the respiration interval, heart rate interval, and / or position of at least one person, and the biological information acquisition device according to 1, 2, or 3. 11. The biological information acquisition device further includes a plurality of radar systems each including at least one transmitting antenna and at least one receiving antenna, and configured to transmit a plurality of electromagnetic waves to a plurality of positions and receive a plurality of electromagnetic waves reflected from the plurality of positions. The controller including the circuit is configured to synchronize the radar systems and use frequency division multiple access technology or code division multiple access to estimate a plurality of Subject of the respiration interval, heart rate interval, and / or position without interference, and the biological information acquisition device according to 1, 2, or 3. 12. The controller including the circuit is configured to calculate a change amount of the radar signal at each position, and use the change amount of the radar signal and / or the intensity of the radar signal to determine the Subject presence of respiration and / or the Subject presence at the position, and the biological information acquisition device according to 2 or 3. 13. The controller including the circuit is configured to determine that the Subj ect is apnea or hypopnea when the change amount of the radar signal decreases and / or when the change amount of the intensity of the differential signal in the time domain decreases, and the biological information acquisition device according to 2 or 3. 14. The controller including the circuit is configured to determine that the Subj ect has recovered from apnea or hypopnea when the change amount of the radar signal is imaged and / or when the change amount of the intensity of the difference signal in the time domain increases. The biological information acquisition device according to 2 or 3. 15. The controller including the circuit is configured to transmit biological information to at least one remote server including a remote data storage device in a cloud computing environment. The biological information acquisition device according to 1, 2, or 3. 16. A biological information acquisition method, comprising: storing time series data corresponding to biological information; calculating a difference signal; calculating and evaluating the difference signal intensity; Subject estimating the respiratory interval, heartbeat interval, and / or position of. A biological information acquisition method. 17. The method estimates the Subject respiratory interval, heartbeat interval, and / or position by the time difference that minimizes the intensity of the difference signal. The biological information acquisition method according to 16. 18. The method uses one of window functions including a rectangular window, a B-spline window, a Hann window, a Hamming window, and a Tukey window to extract a plurality of portions of the time series data corresponding to biological information. The biological information acquisition method according to 16 or 17. 19. The method calculates the change amount of the time series data corresponding to biological information, uses the change amount and / or intensity of the time series data corresponding to the biological information to determine the Subject presence of respiration and / or the Subject presence of. The biological information acquisition method according to 16 or 17. 20. The method is performed in the time domain and / or the spatial domain, and at each position, the intensity of the difference signal, the Subject respiratory interval, the change amount of the time series data corresponding to biological information, the intensity of the time series data corresponding to biological information, and / or the SubjectThe biological information acquisition method according to 16, 17 or 19, wherein at least one smoothing filter including a median filter, a moving average filter, and a Hampel filter is applied to the heart rate intervals. 21. A biological information acquisition device, at least two microwave radars, each of the at least two microwave radars including at least one transmitting antenna and at least one receiving antenna, transmitting a plurality of microwaves to a plurality of Subject and configured to receive a plurality of microwaves reflected by the Subject , converting a plurality of received microwaves into a plurality of radar signals, storing the radar signals, calculating the correlation between the radar signals acquired by different radars, and detecting the same Subject position acquired by different radars, and a controller including a circuit configured to perform the above. 22. A biological information acquisition device, at least two ultra-wideband millimeter-wave radars, each of the at least two ultra-wideband millimeter-wave radars including at least one transmitting antenna and at least one receiving antenna, transmitting a plurality of ultra-wideband millimeter-waves to a plurality of Subject and configured to receive a plurality of ultra-wideband millimeter-waves reflected by the Subject , converting a plurality of received ultra-wideband millimeter-waves into a plurality of radar signals, storing the radar signals, calculating the correlation between the radar signals acquired by different radars, and detecting the same Subject position acquired by different radars, and a controller including a circuit configured to perform the above. 23. The biological information acquisition device according to 22, wherein the controller including the circuit is configured to synthesize a virtual array radar from a plurality of transmitting antennas and a plurality of receiving antennas of each ultra-wideband millimeter-wave radar. 24. The controller including the circuit is configured to construct complex or real radar image data using one of beamforming techniques. The beamforming technique is the biological information acquisition device according to 23, which includes applying Fourier transform in the high-speed time direction and applying Fourier transform in the channel number region of a virtual array when the biological information acquisition device uses an FMCW ultra-wideband millimeter-wave radar. 25. The controller including a circuit is configured to subtract a DC component of radar image data. The DC component of the radar image data includes the time average of the radar image data, and is the biological information acquisition device according to 22, 23, or 24. 26. The controller including a circuit is further configured to detect target candidates of a plurality of people and / or animals using the radar image data and estimate their positions, and is the biological information acquisition device according to 24 or 25. 27. The controller including a circuit is configured to construct respiratory image data from the radar image data. The construction of the respiratory image data includes applying a band-pass filter to the actual radar image data and applying a band-pass filter to the phase information of the complex radar image data, and is the biological information acquisition device according to 24, 25, or 26. 28. The controller including a circuit is further configured to construct respiratory interval radar image data. The respiratory interval radar image data includes respiratory interval information at all or some of the coordinates of the radar image data, and is the biological information acquisition device according to 27. 29. The controller including a circuit is further configured to detect a plurality of people and / or animal targets using one of clustering techniques and estimate their positions. The clustering technique includes an X-average algorithm and a k-average algorithm, and is the biological information acquisition device according to 27 or 28. 30. The controller including a circuit is configured to individually apply one of clustering techniques to the respiratory interval radar image data acquired by each ultra-wideband millimeter-wave radar and synthesize clusters acquired by each respiratory interval radar image data, and is the biological information acquisition device according to 29. 31. The biological information acquisition device according to 29 or 30, wherein the controller including a circuit is configured to calculate the correlation between the respiration interval information in all clusters acquired by different radars. 32. The biological information acquisition device according to 31, wherein the controller including a circuit is configured to align the coordinate systems of different radars using at least two cluster pairs of different radars having the highest correlation value of the respiration interval information. 33. The controller including a circuit is configured to align the coordinate systems of different radars using two cluster pairs of different radars having the highest correlation value of the respiration interval information, and to align the coordinate systems of different radars using all cluster pairs of different radars. The alignment information acquired by two cluster pairs of different radars having the highest correlation value of the respiration interval information is used as an initial value for the alignment procedure using all cluster pairs of different radars. The biological information acquisition device according to 31. 34. The biological information acquisition device according to 33, wherein the controller including a circuit is configured to delete the cluster pairs of different radars when the positions measured by different radars are far apart. 35. A biological information acquisition device, at least two ultra-wideband millimeter wave radars, each of the at least two ultra-wideband millimeter wave radars includes at least one transmitting antenna and at least one receiving antenna, and transmits a plurality of ultra-wideband millimeter waves to a plurality of Subject and is configured to receive a plurality of ultra-wideband millimeter waves reflected by the Subject converts the plurality of received ultra-wideband millimeter waves into a plurality of radar signals, stores the radar signals, calculates the correlation between the radar signals acquired by different radars, and detects the same acquired by different radars, Subject and includes a controller including a circuit configured to estimate a position and calculate biometric information. Subject The estimation of the position is the Subject position.Subject A biological information acquisition device including the adoption of a power ratio table between all radars with respect to a position. 36. The biological information acquisition device according to 22 or 35, wherein at least one ultra-wideband millimeter-wave radar transmits and receives a plurality of ultra-wideband millimeter-waves at a sampling rate of 20 milliseconds or less. 37. The biological information acquisition device according to 22 or 35, wherein at least one ultra-wideband millimeter-wave radar transmits and receives a plurality of ultra-wideband millimeter-waves at a sampling rate of 1 to 20 milliseconds. 38. A biological information acquisition method, comprising: storing a radar signal; calculating a correlation between radar signals acquired by different radars; detecting the same Subject position acquired by the different radars. 39. A biological information acquisition method, comprising: storing a radar signal; calculating respiration interval information; detecting the same Subject position acquired by different radars; aligning the measurement coordinate systems of different ultra-wideband millimeter-wave radars. 40. A biological information acquisition method, comprising: storing a radar signal; calculating a correlation between radar signals acquired by different radars; detecting the same Subject position acquired by the different radars; Subject estimating a position; calculating biometric information; Subject The position estimation Subject includes the adoption of a power ratio table between all radars with respect to a position. 41. A biological information acquisition device, comprising: at least two ultra-wideband millimeter-wave radars, each of the at least two ultra-wideband millimeter-wave radars includes at least one transmitting antenna and at least one receiving antenna, and a plurality of ultra-wideband millimeter-waves are transmitted to a plurality ofSubject transmits to the Subject and is configured to receive a plurality of ultra-wideband millimeter waves reflected by the converts the plurality of received ultra-wideband millimeter waves into a plurality of radar signals, stores the radar signals, calculates the correlation between the radar signals obtained by different radars, and detects the same Subject obtained by different radars, Subject and includes a controller having a circuit configured to estimate a position and calculate biometric information. Subject The estimation of the position Subject includes the adoption of a power ratio table between all or some of the radars with respect to the position and the adoption of triangulation using all or some of the distance information of the radars. A biometric information acquisition device. 42. A biometric information acquisition device, at least two ultra-wideband millimeter wave radars, each of the at least two ultra-wideband millimeter wave radars includes at least one transmitting antenna and at least one receiving antenna, and transmits a plurality of ultra-wideband millimeter waves to a plurality of Subject and is configured to receive a plurality of ultra-wideband millimeter waves reflected by the Subject ; converts the plurality of received ultra-wideband millimeter waves into a plurality of radar signals, stores the radar signals, constructs radar data at each distance, calculates the power of the radar data, estimates respiration information, applies one of the clustering techniques to the respiration interval radar data, and detects the same Subject obtained by different radars, Subject and includes a controller having a circuit configured to estimate the position of the and calculate biometric information. The respiration information estimation includes applying a band-pass filter to the actual radar data and applying a band-pass filter to the phase information of the complex radar image data. The respiration interval radar data includes respiration interval information at all or some of the distances of the radar image data. The clustering technique includes an X-mean algorithm and a k-mean algorithm. A biometric information acquisition device. 43. The biological information acquisition device according to 41 or 42, wherein the synchronization accuracy between the radars is 1 nanosecond or less. 44. The biological information acquisition device according to 41 or 42, wherein at least four radars are positioned at four corners of the device. 45. The biological information acquisition device according to 41 or 42, wherein at least three radars are positioned in a triangular shape. 46. The biological information acquisition device according to 41 or 42, wherein the measurement directions of different radars are different. 47. The biological information acquisition device according to 41 or 42, wherein at least two radar sites are used. 48. The biological information acquisition device according to 41 or 42, wherein the device is installed in a television, a cellular phone, or a device having a charging function. 49. A biological information acquisition device, including at least one transmitting antenna and at least one receiving antenna, and transmitting a plurality of ultra-wideband millimeter waves to at least one Subject and configured to receive a plurality of ultra-wideband millimeter waves reflected by the Subject at least one ultra-wideband millimeter wave radar, converting a plurality of received ultra-wideband millimeter waves into a plurality of radar signals, storing the radar signals, detecting scattering, classifying the scattering into scattering clusters, selecting at least one scattering cluster, Sub ject estimating a position, and calculating biometric information, and a controller including a circuit configured to perform the above operations, the scattering detection may use threshold selection regarding signal intensity, the scattering classification may use one of clustering algorithms including density-based spatial clustering of applications with noise, the cluster selection may use scattering density and / or the distance between the scattering cluster and the radar, the biological information acquisition device. 50. Subject The position is estimated by the centroid of the scattering belonging to the selected scattering cluster, the biological information acquisition device according to 49. 51. TheSubject The living body information acquisition device according to 49 may estimate the position using the scattered signal intensity and the distance between the center of gravity of the scattering belonging to the selected scattering cluster and the scattering. 52. The ultra-wideband millimeter-wave radar transmits a plurality of ultra-wideband millimeter-waves at irregular intervals, and the controller including a circuit is further configured to apply phase unwrapping to the radar signal of the selected scattering cluster. The living body information acquisition device according to 49. 53. The controller including the circuit calculates the displacement of the body surface of at least one person, applies one of a low-pass filter or a band-pass filter to the displacement, calculates a baseline of the filtered displacement using one of smoothing filters, and uses the intersection of the filtered displacement and the baseline to detect a respiratory interval and further calculates a respiratory rate and / or a heart rate. Subject The smoothing filter includes a moving average, a low-pass filter, a Kalman filter, exponential smoothing, a Butterworth filter, and maximum and minimum averages using a sliding window. The living body information acquisition device according to 49. The smoothing filter includes a moving average, a low-pass filter, a Kalman filter, exponential smoothing, a Butterworth filter, and maximum and minimum averages using a sliding window. The living body information acquisition device according to 49. 54. The controller including the circuit is further configured to calculate the frequency of the displacement at the maximum power. One of the low-pass filter or the band-pass filter applied to the displacement passes at least the frequency of the displacement at the maximum power. The living body information acquisition device according to 53. 55. The controller including the circuit calculates the frequency of the displacement at the maximum power and is further configured to estimate the respiratory interval from the frequency of the displacement at the maximum power. The window width of the smoothing filter used to calculate the baseline of the filtered displacement is equal to or greater than the estimated respiratory interval. The living body information acquisition device according to 53. 56. The controller comprising the circuit is further configured to calculate the variation range of the displacement or the filtered displacement, and to determine that apnea or respiratory arrest has occurred, or that the radar signal does not include a respiratory signal, the biological information acquisition device according to 53. 57. The controller comprising the circuit is further configured to extract a part of the displacement with small variation, apply one of the band-pass filters to the extracted displacement, calculate the baseline of the extracted filtered displacement using one of the smoothing filters, detect the inter-beat interval using the intersection of the extracted filtered displacement and the baseline of the extracted filtered displacement, and calculate the heart rate. The smoothing filter includes a moving average, a low-pass filter, a Kalman filter, exponential smoothing, a Butterworth filter, and the maximum and minimum averages using a sliding window, the biological information acquisition device according to 53. 58. The controller comprising the circuit is configured to estimate the respiratory rate and / or the heart rate from the median of the respiratory interval and / or the median of the inter-beat interval, the biological information acquisition device according to 53 or 57. 59. A method for acquiring biological information, storing a plurality of radar signals, calculating the correlation between radar signals acquired by different radars, the same acquired by different radars Subject to detect, Subject estimating the position, calculating biometric information, the Subject estimation of the position includes Subject adopting a power ratio table between all or some of the radars with respect to the position and adopting triangulation using the distance information of all or some of the radars, a method for acquiring biological information. 60. A method for acquiring biological information, storing a plurality of radar signals, detecting scattering, classifying the scattering into scattering clusters, Select at least one scattering cluster, Subject estimate the position, calculate biometric information, The scattering detection may use threshold selection regarding signal intensity, the scattering classification may use one of clustering algorithms including density-based spatial clustering of applications with noise, and the cluster selection may use scattering density and / or the distance between the scattering cluster and the radar. A method for acquiring biological information. 61. A method for acquiring biological information, store a plurality of radar signals, detect scattering, classify the scattering into scattering clusters, select at least one scattering cluster, Subject estimate the position, calculate biometric information, The scattering detection may use threshold selection regarding signal intensity, the scattering classification may use one of clustering algorithms including density-based spatial clustering of applications with noise, the cluster selection may use scattering density and / or the distance between the scattering cluster and the radar, and at least one Subject calculate the displacement of the body surface, apply one of a low-pass filter or a band-pass filter to the displacement, calculate a baseline of the filtered displacement using one of smoothing filters, detect a respiratory interval using an intersection of the filtered displacement and the baseline, calculate a respiratory rate and / or a heart rate, and the smoothing filter includes a moving average, a low-pass filter, a Kalman filter, exponential smoothing, a Butterworth filter, and maximum and minimum averages using a sliding window. A method for acquiring biological information.

[0077] Obviously, in light of the above teachings, numerous modifications and variations of the present invention are possible. Accordingly, it is to be understood that the invention may be practiced otherwise than as specifically described herein, within the scope of the appended claims.

[0078] Description of Symbols 100 Subject 102 Microwave Radar System 104 Transmission Antenna 106 Reception Antenna 108 Microwaves 110 System Controller 112 Store Radar Signals 114 Calculate Differential Signals between Radar Signals 116 Calculate and Evaluate Intensity of Differential Signals 118 Subject Estimate Respiration Interval, Heartbeat Interval, and Position of 200 Ultra-Wideband Millimeter-Wave Radar System 202 Ultra-Wideband Millimeter-Waves 300 Subject Information 400 Store Time-Series Data Corresponding to Biological Information 402 Calculate Differential Signals between Time-Series Data 404 Calculate and Evaluate Intensity of Differential Signals between Time-Series Data 406 Subject Estimate Respiration Interval, Heartbeat Interval, and Position of 500 Extract Multiple Parts of Time-Series Data 600 Microwave Radar A 602 Microwave Radar B 604 Calculate Correlation of Radar Signals Obtained by Different Radars 606 The Same Subject Detect Position Obtained by Different Radars 700 Subject A 702 Subject B 704 Subject C 706 Ultra-Wideband Millimeter-Wave Radar A 708 Ultra-Wideband Millimeter-Wave Radar B Calculate 800 breathing interval information Align the measurement coordinate systems of 802 different ultra-wideband millimeter-wave radars Synthesize 900 virtual array radars Construct 902 complex or real radar image data Calculate the power of 904 radar image data Apply one of the 906 clustering techniques to the breathing interval radar image data 908 All Subject Calculate the biometric information of 1000 Identical Subject Detect obtained by different radars Measurement range of 1002 millimeter-wave radar A Measurement range of 1004 millimeter-wave radar B 1006 Subject Power ratio table between all radars regarding position 1008 Subject Estimate the position 1100 Between radar A and Subject Distance to B 1102 Between radar B and Subject Distance to B Construct 1200 complex or real radar data at each distance for each radar Calculate the power of 1202 radar data 1300 Ultra-wideband millimeter-wave radar C 1302 Ultra-wideband millimeter-wave radar D

Claims

1. A biological information acquisition device, comprising at least one transmitting antenna and at least one receiving antenna, configured to transmit a plurality of ultra-wideband millimeter waves to a subject and receive the plurality of ultra-wideband millimeter waves reflected by the subject, an ultra-wideband millimeter wave radar system; a controller comprising a circuit configured to convert a plurality of received ultra-wideband millimeter waves into radar signals, store the radar signals, calculate a differential signal between the radar signals at each position, calculate and evaluate the intensity of the differential signal at each position, and estimate a respiration interval, a heartbeat interval, and / or a position of the subject; A biological information acquisition device comprising the above.

2. The controller comprising the circuit is configured to estimate the respiration interval, the heartbeat interval, and / or the position of the subject based on a time difference that minimizes the intensity of the differential signal at each position, according to Claim 1.

3. The controller comprising the circuit is configured to estimate the respiration interval of the subject based on the time difference that minimizes the intensity of the differential signal at each position within the time difference of 0.2 to 10 seconds, according to Claim 2.

4. The controller comprising the circuit is configured to estimate the heartbeat interval of the subject based on the time difference that minimizes the intensity of the differential signal at each position within the time difference of 0.1 to 2 seconds, according to Claim 2.

5. The controller comprising the circuit is configured to input subject information and adjust the subject to set a range of the time difference that minimizes the intensity of the differential signal, according to Claim 2.

6. The controller comprising the circuit is configured to determine the presence of the subject when a significant decrease in the intensity of the differential signal is detected at a certain position, according to Claim 2.

7. The radar system includes a plurality of transmitting antennas and / or a plurality of receiving antennas, and is configured to transmit a plurality of electromagnetic waves in a plurality of directions and / or receive a plurality of electromagnetic waves reflected from a plurality of directions, The controller comprising the circuit is configured to estimate the respiration interval, the heartbeat interval, and / or the position of at least one subject, according to Claim 1 or 2.

8. Further comprising a drive unit connected to the radar system, The controller is configured to direct the transmission antenna and the reception antenna in a measurement direction to estimate the breathing interval, heart rate interval, and / or position of at least one subject, the biological information acquisition device according to claim 1 or 2.

9. Further comprising a plurality of radar systems configured to include at least one transmission antenna and at least one reception antenna, transmit a plurality of electromagnetic waves to a plurality of positions, and receive a plurality of electromagnetic waves reflected from the plurality of positions, The controller comprising the circuit is configured to synchronize the radar systems and use frequency division multiple access technology or code division multiple access to estimate the breathing interval, heart rate interval, and / or position of a plurality of subjects without interference, the biological information acquisition device according to claim 1 or 2.

10. The controller comprising the circuit is configured to calculate the amount of change of the radar signal at each position and use the amount of change of the radar signal and / or the intensity of the radar signal to determine the presence of the subject's breathing and / or the presence of the subject at the position, the biological information acquisition device according to claim 2.

11. The controller comprising the circuit is configured to determine that the subject is apnea or hypopnea when the amount of change of the radar signal decreases and / or when the amount of change of the intensity of the differential signal in the time domain decreases, the biological information acquisition device according to claim 2.

12. The controller comprising the circuit is configured to determine that the subject has recovered from apnea or hypopnea when the amount of change of the radar signal increases and / or when the amount of change of the intensity of the differential signal in the time domain increases, the biological information acquisition device according to claim 2.

13. A biological information acquisition device, A plurality of microwave radars, each of the plurality of microwave radars including at least one transmission antenna and at least one reception antenna, configured to transmit a plurality of microwave waves to a plurality of subjects and receive a plurality of microwave waves reflected by the subjects, a plurality of microwave radars, A controller comprising a circuit configured to convert the plurality of received microwave signals into a plurality of radar signals, store the radar signals, calculate the correlation between the radar signals obtained by different microwave radars, and detect the same target position obtained by different microwave radars. A biological information acquisition device comprising the same.

14. A biological information acquisition device, A plurality of ultra-wideband millimeter-wave radars, each of the plurality of ultra-wideband millimeter-wave radars including at least one transmitting antenna and at least one receiving antenna, configured to transmit a plurality of ultra-wideband millimeter-waves to a plurality of targets and receive the plurality of ultra-wideband millimeter-waves reflected by the targets. A controller comprising a circuit configured to convert the plurality of received ultra-wideband millimeter-wave signals into a plurality of radar signals, store the radar signals, calculate the correlation between the radar signals obtained by different ultra-wideband millimeter-wave radars, and detect the same target position obtained by different ultra-wideband millimeter-wave radars. A biological information acquisition device comprising the same.

15. The controller comprising the circuit is further configured to use clustering technology to detect a plurality of human and / or animal targets and estimate their positions. The biological information acquisition device according to Claim 14.

16. The biological information acquisition device according to Claim 15, wherein the controller comprising the circuit is configured to align the coordinate systems of different radars using at least two cluster pairs of different radars having the highest correlation value of respiratory interval information.

17. The controller comprising the circuit is configured to align the coordinate systems of different radars using two cluster pairs of different radars having the highest correlation value of respiratory interval information, and to align the coordinate systems of different radars using all cluster pairs of different radars. The alignment information obtained by two cluster pairs of different radars having the highest correlation value of respiratory interval information is used as an initial value for the alignment procedure using all cluster pairs of different radars. The biological information acquisition device according to Claim 15.

18. A biological information acquisition device, A plurality of ultra-wideband millimeter-wave radars, each of the plurality of ultra-wideband millimeter-wave radars includes at least one transmitting antenna and at least one receiving antenna, and is configured to transmit a plurality of ultra-wideband millimeter-waves to a plurality of subjects and receive the plurality of ultra-wideband millimeter-waves reflected by the subjects, a plurality of ultra-wideband millimeter-wave radars; A controller comprising a circuit configured to convert the plurality of received ultra-wideband millimeter-waves into a plurality of radar signals, store the radar signals, calculate the correlation between radar signals acquired by different radars, detect the same subject acquired by different radars, estimate the subject position, and calculate biometric information; Comprising; The estimation of the subject position includes the adoption of a power ratio table between all radars with respect to the subject position; A biometric information acquisition device.

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